Optimal Sizing of PV System and BESS for Smart Household under Stepwise Power Tariff

2018 ◽  
Author(s):  
Lai Zhou ◽  
Yongjun Zhang ◽  
Kun Li ◽  
Xiaoyu Xie
Keyword(s):  
Pv System ◽  
Optimal Sizing

scholarly journals Optimal Sizing of Standalone Photovoltaic System Using Improved Performance Model and Optimization Algorithm

2020 ◽  
Vol 12 (6) ◽  
pp. 2233
Author(s):  
Tamer Khatib ◽  
Dhiaa Halboot Muhsen
Keyword(s):  
Life Cycle Cost ◽  
Optimal Solution ◽  
Cost Effective ◽  
Performance Model ◽  
Photovoltaic System ◽  
Optimal Solutions ◽  
Pv System ◽  
Optimal Sizing ◽  
Pv Systems ◽  
Improved Performance

A standalone photovoltaic system mainly consists of photovoltaic panels and battery bank. The use of such systems is restricted mainly due to their high initial costs. This problem is alleviated by optimal sizing as it results in reliable and cost-effective systems. However, optimal sizing is a complex task. Artificial intelligence (AI) has been shown to be effective in PV system sizing. This paper presents an AI-based standalone PV system sizing method. Differential evolution multi-objective optimization is used to find the optimal balance between system’s reliability and cost. Two objective functions are minimized, the loss of load probability and the life cycle cost. A numerical algorithm is used as a benchmark for the proposed method’s speed and accuracy. Results indicate that the AI algorithm can be successfully used in standalone PV systems sizing. The proposed method was roughly 27 times faster than the numerical method. Due to AI algorithm’s random nature, the proposed method resulted in the exact optimal solution in 6 out of 12 runs. Near-optimal solutions were found in the other six runs. Nevertheless, the nearly optimal solutions did not introduce major departure from optimal system performance, indicating that the results of the proposed method are practically optimal at worst.

scholarly journals A Software Tool for Optimal Sizing of PV Systems in Malaysia

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Tamer Khatib ◽  
Azah Mohamed ◽  
K. Sopian
Keyword(s):  
Solar Energy ◽  
Tilt Angle ◽  
Software Tool ◽  
Diesel Generator ◽  
Pv System ◽  
Generator System ◽  
Optimal Sizing ◽  
Pv Systems ◽  
Artificial Neural Network Ann ◽  
User Friendly

This paper presents a MATLAB based user friendly software tool called as PV.MY for optimal sizing of photovoltaic (PV) systems. The software has the capabilities of predicting the metrological variables such as solar energy, ambient temperature and wind speed using artificial neural network (ANN), optimizes the PV module/ array tilt angle, optimizes the inverter size and calculate optimal capacities of PV array, battery, wind turbine and diesel generator in hybrid PV systems. The ANN based model for metrological prediction uses four meteorological variables, namely, sun shine ratio, day number and location coordinates. As for PV system sizing, iterative methods are used for determining the optimal sizing of three types of PV systems, which are standalone PV system, hybrid PV/wind system and hybrid PV/diesel generator system. The loss of load probability (LLP) technique is used for optimization in which the energy sources capacities are the variables to be optimized considering very low LLP. As for determining the optimal PV panels tilt angle and inverter size, the Liu and Jordan model for solar energy incident on a tilt surface is used in optimizing the monthly tilt angle, while a model for inverter efficiency curve is used in the optimization of inverter size.

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